October 2016 - December 2016
- This project won the first prize at the MHacks 2016 hackathon at the University of Michigan, the largest hackathon in the USA at that time.
- This startup received initial seed funding from the 1517 Fund. I moved away from this work in December 2016.
- Our team presented a 30-minute talk, title 'OrchestrAI and Computational Creativity', at the annual Wolfram Technology Conference in Champaign in October 2016.
- Devpost project link.
I was very interested in exploring how we can push the boundaries of our interactions with physical objects and artificial intelligence and explore their intersection in novel use cases. For a long time, I wanted to bring together my passion in playing the violin and machine learning - and so I came up with this idea for designing an AI that learned how I play the violin in my Indian classical (Carnatic) style and improvised with me. Our team was successful in building such a system that I could actually jam and make music with - but we also took it one step further, and used a neural network to get the AI to generate its own classical music compositions. We reached a point where the AI actually played better violin than me! (While I had 12 years of classical music experience, the AI was trained on 150 years of classical music knowledge.)Tasks Performed:
- Design of convolutional neural networks
- Violin and Music theory
- Signal processing with music data